• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于评估外周器官及靶区附近关键器官对辐射的生物学反应的蒙特卡罗方法。

Monte Carlo methods to assess biological response to radiation in peripheral organs and in critical organs near the target.

作者信息

Matuszak Natalia, Piotrowski Igor, Kruszyna-Mochalska Marta, Skrobala Agnieszka, Mocydlarz-Adamcewicz Mirosława, Malicki Julian

机构信息

Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.

Radiobiology Laboratory, Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.

出版信息

Rep Pract Oncol Radiother. 2024 Dec 4;29(5):638-648. doi: 10.5603/rpor.103525. eCollection 2024.

DOI:10.5603/rpor.103525
PMID:39759550
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11698553/
Abstract

BACKGROUND

The biological effects and clinical consequences of out-of-field radiation in peripheral organs can be difficult to determine, especially for low doses (0.1 Gy-1 Gy). In recent years, Monte Carlo (MC) methods have been proposed to more accurately predict nontarget doses. The aim of the present study was to assess the feasibility of using Monte Carlo methods to predict the biological response of tissues and critical organs to low dose radiation (0.1 to 1 Gy) based on results published in the literature.

MATERIALS AND METHODS

Literature review, including studies published by our group.

RESULTS AND CONCLUSIONS

It has long been assumed that radiation doses to peripheral organs located far from the target volume are too low to have any clinical impact. In recent years, however, concerns about the risk of treatment-induced secondary cancers, even in peripheral organs, have continued to grow in line with increasing life expectancy. At present, it is difficult in routine calculations to accurately determine radiation doses to the whole body and peripheral organs. Moreover, the potential clinical impact of these doses remains uncertain and the biological response to low dose radiation depends on the organ. In this context, MC methods can predict biological response in those organs. Monte Carlo methods have become a powerful tool to better predict the consequences of interactions between ionising radiation and biological matter. MC modelling can also help to characterise microscopic system dynamics and to provide a better understanding of processes occurring at the cellular, molecular, and nanoscales.

摘要

背景

外周器官中射野外辐射的生物学效应和临床后果可能难以确定,尤其是对于低剂量(0.1戈瑞 - 1戈瑞)而言。近年来,已提出蒙特卡罗(MC)方法以更准确地预测非靶区剂量。本研究的目的是根据文献发表的结果评估使用蒙特卡罗方法预测组织和关键器官对低剂量辐射(0.1至1戈瑞)的生物学反应的可行性。

材料与方法

文献综述,包括我们团队发表的研究。

结果与结论

长期以来人们一直认为,位于远离靶区的外周器官所接受的辐射剂量过低,不会产生任何临床影响。然而,近年来,随着预期寿命的增加,即使是对外周器官中治疗诱发继发性癌症风险的担忧也在持续增加。目前,在常规计算中难以准确确定全身和外周器官的辐射剂量。此外,这些剂量的潜在临床影响仍不确定,并且对低剂量辐射的生物学反应取决于器官。在此背景下,MC方法可以预测这些器官中的生物学反应。蒙特卡罗方法已成为更好地预测电离辐射与生物物质之间相互作用后果的有力工具。MC建模还有助于表征微观系统动力学,并更好地理解在细胞、分子和纳米尺度上发生的过程。

相似文献

1
Monte Carlo methods to assess biological response to radiation in peripheral organs and in critical organs near the target.用于评估外周器官及靶区附近关键器官对辐射的生物学反应的蒙特卡罗方法。
Rep Pract Oncol Radiother. 2024 Dec 4;29(5):638-648. doi: 10.5603/rpor.103525. eCollection 2024.
2
Validation of a Monte Carlo Framework for Out-of-Field Dose Calculations in Proton Therapy.用于质子治疗中射野外剂量计算的蒙特卡罗框架的验证
Front Oncol. 2022 Jun 8;12:882489. doi: 10.3389/fonc.2022.882489. eCollection 2022.
3
Assessment of Monte Carlo algorithm for compliance with RTOG 0915 dosimetric criteria in peripheral lung cancer patients treated with stereotactic body radiotherapy.评估蒙特卡罗算法在接受立体定向体部放射治疗的周围型肺癌患者中符合 RTOG 0915 剂量学标准的应用。
J Appl Clin Med Phys. 2016 May 8;17(3):277-293. doi: 10.1120/jacmp.v17i3.6077.
4
Toward automated and personalized organ dose determination in CT examinations - A comparison of two tissue characterization models for Monte Carlo organ dose calculation with a Therapy Planning System.迈向 CT 检查中自动化和个性化器官剂量测定——两种组织特征化模型在治疗计划系统中进行蒙特卡罗器官剂量计算的比较。
Med Phys. 2019 Feb;46(2):1012-1023. doi: 10.1002/mp.13357. Epub 2019 Jan 15.
5
Feasibility and accuracy of UF/NCI phantoms and Monte Carlo retrospective dosimetry in children treated on National Wilms Tumor Study protocols.UF/NCI 体模和蒙特卡罗回溯剂量学在国家威尔姆斯瘤研究方案治疗的儿童中的可行性和准确性。
Pediatr Blood Cancer. 2018 Dec;65(12):e27395. doi: 10.1002/pbc.27395. Epub 2018 Aug 12.
6
Dosimetric and biological impact of activity extravasation of radiopharmaceuticals in PET imaging.PET成像中放射性药物活性外渗的剂量学和生物学影响。
Med Phys. 2025 Feb;52(2):801-813. doi: 10.1002/mp.17520. Epub 2024 Nov 20.
7
Monte Carlo study of organ doses and related risk for cancer in Algeria from scattered neutrons in prostate treatment involving 3D-CRT.阿尔及利亚前列腺癌三维适形放疗中散射中子所致器官剂量及相关癌症风险的蒙特卡罗研究
Appl Radiat Isot. 2022 Feb;180:110065. doi: 10.1016/j.apradiso.2021.110065. Epub 2021 Dec 13.
8
Evaluation of organ-specific peripheral doses after 2-dimensional, 3-dimensional and hybrid intensity modulated radiation therapy for breast cancer based on Monte Carlo and convolution/superposition algorithms: implications for secondary cancer risk assessment.基于蒙特卡罗和卷积/叠加算法的乳腺癌二维、三维和混合调强放疗后器官特异性外周剂量评估:对继发癌症风险评估的影响。
Radiother Oncol. 2013 Jan;106(1):33-41. doi: 10.1016/j.radonc.2012.11.012. Epub 2013 Jan 23.
9
Comparison of 3DCRT and IMRT out-of-field doses in pediatric patients using Monte Carlo simulations with treatment planning system calculations and measurements.使用蒙特卡罗模拟结合治疗计划系统计算与测量对儿科患者3DCRT和IMRT野外剂量的比较
Front Oncol. 2022 Aug 5;12:879167. doi: 10.3389/fonc.2022.879167. eCollection 2022.
10
Investigation of four-dimensional (4D) Monte Carlo dose calculation in real-time tumor tracking stereotatic body radiotherapy for lung cancers.四维(4D)蒙特卡罗剂量计算在实时肿瘤跟踪立体定向体放射治疗肺癌中的研究。
Med Phys. 2012 Sep;39(9):5479-87. doi: 10.1118/1.4739249.

引用本文的文献

1
lncRNA Is the Marker of HPV Infection and a Prognostic Factor for HNSCC Patients.长链非编码RNA是HPV感染的标志物及头颈部鳞状细胞癌患者的预后因素。
Biomedicines. 2025 Mar 26;13(4):798. doi: 10.3390/biomedicines13040798.

本文引用的文献

1
Simulation of Radiation-Induced DNA Damage and Protection by Histones Using the Code RITRACKS.使用RITRACKS代码模拟辐射诱导的DNA损伤及组蛋白的保护作用。
BioTech (Basel). 2024 Jun 5;13(2):17. doi: 10.3390/biotech13020017.
2
A comparative study on the dose-effect of low-dose radiation based on microdosimetric analysis and single-cell sequencing technology.基于微剂量分析和单细胞测序技术的低剂量辐射剂量效应比较研究。
Sci Rep. 2024 May 21;14(1):11524. doi: 10.1038/s41598-024-62501-5.
3
A personalized Monte Carlo study of tumor and critical organ doses for trans-arterial radioembolization patients.经导管动脉内放射栓塞术患者肿瘤和关键器官剂量的个体化蒙特卡罗研究。
Phys Med Biol. 2023 Sep 25;68(19). doi: 10.1088/1361-6560/acf7a7.
4
Machine Learning & Molecular Radiation Tumor Biomarkers.机器学习与分子辐射肿瘤标志物。
Semin Radiat Oncol. 2023 Jul;33(3):243-251. doi: 10.1016/j.semradonc.2023.03.002.
5
Radiation-induced bystander effect and its clinical implications.辐射旁效应及其临床意义。
Front Oncol. 2023 Apr 5;13:1124412. doi: 10.3389/fonc.2023.1124412. eCollection 2023.
6
Spectra and characteristics of somatic mutations induced by ionizing radiation in hematopoietic stem cells.电离辐射诱导造血干细胞体细胞突变的特征和特性。
Proc Natl Acad Sci U S A. 2023 Apr 11;120(15):e2216550120. doi: 10.1073/pnas.2216550120. Epub 2023 Apr 5.
7
Advances in Automated Treatment Planning.自动化治疗计划的进展。
Semin Radiat Oncol. 2022 Oct;32(4):343-350. doi: 10.1016/j.semradonc.2022.06.004.
8
Datasets of in vitro clonogenic assays showing low dose hyper-radiosensitivity and induced radioresistance.显示低剂量超放射敏感性和诱导放射抗性的体外集落形成测定数据集。
Sci Data. 2022 Sep 8;9(1):555. doi: 10.1038/s41597-022-01653-3.
9
Radiation-induced Cell Death and Its Mechanisms.辐射诱导的细胞死亡及其机制。
Health Phys. 2022 Nov 1;123(5):376-386. doi: 10.1097/HP.0000000000001601. Epub 2022 Sep 6.
10
Nontarget and Out-of-Field Doses from Electron Beam Radiotherapy.电子束放射治疗中的非靶区和野外剂量
Life (Basel). 2022 Jun 8;12(6):858. doi: 10.3390/life12060858.